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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Pendas : Jurnah Ilmiah Pendidikan Dasar KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) INFOKUM Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI JPM: JURNAL PENGABDIAN MASYARAKAT Yayasan Cita Cendikiawan Al Khwarizmi Journal of Informatics Management and Information Technology Journal of Social Responsibility Projects by Higher Education Forum Bulletin of Information Technology (BIT) Prosiding Snastikom Jurnal ABDIMAS Budi Darma Data Sciences Indonesia (DSI) Jurnal Sistem Cerdas dan Rekayasa Journal Global Technology Computer Jurnal Kajian Ilmiah Teknologi Informasi dan Komputer Taawun: Jurnal Pengabdian kepada Masyarakat
Nelly Astuti Hasibuan
Universitas Budi Darma, Medan
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Analisa Perbandingan Metode Certainty Factor dan Teorema Bayes Untuk Mendiagnosa Penyakit Asam Urat Widia Ningsih; Nelly Astuti Hasibuan; Edizal Hatmi
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5687

Abstract

Gout is a disease that often occurs around us, but many are not aware of the symptoms of the disease and how to detect it, one way to diagnose is using an expert system, in the process of diagnosing using methods, there are many methods to determine the accuracy of the results of the diagnosis One of the methods used is the certainty factor and the Bayes theorem, so many are confused about which method to use to carry out the diagnosis process. So we need a process of comparing methods with the intention of knowing which method is more effective, with a fast and precise calculation process so as to present better and more accurate results, the comparison process will apply the exponential comparison method by assessing the level of processing difficulty, processing time, and probability results so that it can be known which method is right for the diagnostic process. Based on the results of the comparison using the exponential comparison method, the certainty factor method gets a result of 14 while the Bayes theorem method gets 3. By looking at the value of this comparison, it can be said that the certainty factor method is the right method for diagnosing gout.
Analisa Perbandingan Metode Certainty Factor dan Teorema Bayes Untuk Mendiagnosa Penyakit Pneumonia Pada Anak Dewi Yurika; Nelly Astuti Hasibuan; Edizal Hatmi
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5688

Abstract

Pneumonia is a disease that causes death in children because the body's defense system is relatively low. At this time people do not really care about pneumonia because this pneumonia has symptoms that are almost the same as coughing. This happens because of the weak knowledge of parents about pneumonia. Fast and precise information and prevention from a health expert are needed by parents about the symptoms of pneumonia and how to treat it early. One alternative that the author can do for the problems that have been described, the authors make a comparison between the certainty factor method and the Bayes theorem to find the certainty value of the symptoms suffered by the patient, which will later be analyzed for the accuracy of each method. Where this study provides solutions and prevention methods so that parents can quickly find out the symptoms suffered by children so that they are not diagnosed with pneumonia. Based on the final results of the research conducted by the author of the comparison method by applying the exponential comparison method, which resulted in the certainty factor method being the most appropriate method and the highest level of accuracy for diagnosing pneumonia in children, the final result of the comparison was 14 with a diagnosis result of 99.03%. , while the Bayes theorem method the final result of the comparison is 3 with a diagnostic result of 72.38%.
Implementasi Metode MOORA Dalam Sistem Pendukung Pemilihan Kepala Mandor Pada PT. PP Proyek Bendungan Lau Simeme Fresillya Br Sembiring; Nelly Astuti Hasibuan; Bister Purba
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5772

Abstract

The head foreman is someone who works in the construction field who will have expertise in leading several jobs at a particular company when working on a project he is responsible for all activities in the field of work. The existence of the foreman is very helpful for other employees in carrying out the tasks that must be done in order to achieve company goals. Problems that often occur during the selection of the head foreman at PT. The PP of the Lau Simeme Dam Project is still subjective and does not match the position so that PT. The PP of the Lau Simeme Dam Project has not increased and is not being driven forward, of course it will have an impact on other operations. This is certainly not very good because it affects the smooth operation of PT. The PP Lau Simeme Dam Project and the objectives are not correct. Therefore we need a decision support system to uphold objectivity in the process of selecting the chief foreman. In a decision support system, the MOORA method can be applied which is able to produce the best decision and several alternatives are inputted. To overcome the selection of the head foreman, the method used is the implementation of the MOORA method. This method can filter the best alternatives because the MOORA method is able to determine goals based on conflicting criteria, so the use of this method is appropriate to solve this problem.
Analisa Perbandingan Algoritma HuffmanDengan Rice Code Dalam Kompresi File Video Melisa Melisa; Nelly Astuti Hasibuan; Ilhamsyah Ilhamsyah
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5751

Abstract

With the development and advancement of technology, it is something that we should be grateful for, but there are many things that must be considered, one of which is the full storage memory, and also the slow file transfer process so that it takes quite a long time. Data compression (data utilization) is a technique to reduce the amount of data size (compression result) from the original data. To solve this problem, it is recommended to compress video files with the appropriate algorithm in order to get optimal results. The analysis is carried out in comparing the process of how the Huffman algorithm works and the Rice Code algorithm using the exponential method. To compress video files on both algorithms will be measured using the parameters Ratio Of Compression, Compression Ratio, Redundancy, Space Caving, and Time Compression. the file to be compressed is a video file with MP4 format. Video file compression is a process to remove various redundancies from the bit set in a video file so that the size becomes smaller. In the comparison of the two Huffman algorithms with Rice Code, both have a type of lossless compression algorithm, which is a type of compression that can be decompressed and the results obtained from the comparison of the two algorithms, that the Rice Code algorithm is superior to Huffman.
Penerapan Metode Promethee pada Sistem Pendukung Keputusan dalam Pemilihan Duta Wisata Kabupaten Deli Serdang Cici Alfiani Pradika Dita; Nelly Astuti Hasibuan; Dito Putro Utomo
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5734

Abstract

Tourism ambassadors are one of the means for one region to promote what tourism potential is owned by each region, especially the Deli Serdang regency area. With the existence of tourism ambassadors, it is hoped that there will be a figure or role who is able to become a promoter and be able to promote the tourism potential in the area well. The event for the selection of tourism ambassadors as a means of developing the potential talents, creativity, intelligence of the younger generation to become figures who can play a role in promoting the richness of art, culture and tourism. To help identify or select a decision support system using the PROMETHEE (Preference Ranking Organization Method for Enricment Evalution) method. Promethee is a method for solving a decision-making case to solve a decision-making case that falls into the MCDM (Multi-Criteria Decision Making) category with the principle of outranking. After using the promethee method, a ranking of each alternative can be obtained. Alternatives A3 and A4 "M Sakha Admaja" and "Nabila Putri Ramadhani".
Analisa Perbandingan Algoritma Prefix Code Dengan Algoritma Run Length Encoding Dalam Kompresi File Video Meli Rahmawati; Nelly Astuti Hasibuan; Ilhamsah Ilhamsah
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5690

Abstract

As the development of the world of technology is increasingly sophisticated and widespread in obtaining information quickly. Various kinds of technological facilities continue to be developed so that every human being can exchange information properly, especially in sending data such as video files, but large video files can cause problems in storage space and slow down when they want to send video file data. Therefore, a solution is needed to save storage media space and reduce the size of the data stored, reduce memory usage and file size without affecting the information in the file can be overcome by compression. Video compression is a data compression process that is carried out on video files with the aim of reducing video files so that they can be stored or sent quickly and efficiently. In the comparison of the two Prefix Code algorithms with the Run Length Encoding algorithm, both have a lossless compression algorithm, which is a type of compression that can be decompressed and after testing, the results obtained from the comparison of the two algorithms, that the Prefix Code algorithm is better than the Run Length Encoding algorithm. based on the bit size of the file after compression
English Camp: English For Hospitality In Offical Meeting Nelly Astuti Hasibuan; Putri Ramadhani; Soeb Aripin
JPM: Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2022): Juli 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jpm.v3i1.661

Abstract

Dagang Kerawan Village, located in Tanjung Morawa District, Deli Serdang Regency, has various Small and Medium Enterprises (SMEs) whose products have been marketed to the public. Products produced by Small and Medium Enterprises (SMEs) from the people of Dagang Kerawan Village actually have the potential to be marketed overseas. One of the competencies needed to market SME products to various countries is the ability to communicate in English. The English Camp activity will deliver special materials that will help village officials and the UKM village community to welcome and communicate with guests who come from abroad. The material will be packaged in the form of Coversation (Conversation) to make it easier for participants to understand. With this activity, it is hoped that the village community will begin to realize the importance of having the ability to speak English.
Sistem Pendukung Keputusan Penentuan Karyawan Terbaik Berdasarkan Kinerja Menggunakan Metode TOPSIS Miya Putri Daulay; Risa Ermis Claudia Malau; Nelly Astuti Hasibuan
TIN: Terapan Informatika Nusantara Vol 3 No 3 (2022): August 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v3i3.3640

Abstract

The best employee is someone who really has a big influence on the development and progress of the company, because a company really needs employees who have high loyalty and the ability to improve the progress of a company or forum. A company or forum cannot run well if there is no employee, because the progress of a company depends on these human resources. However, when determining the best employees, fraud often occurs because the determination of the best employees is still done manually which will later lead to a subjective element so that in determining the best employees based on performance there are 4 criteria including Discipline, Cooperation, Work Period, and Skills. So with this it is very necessary to have a decision support system in solving problems with the TOPSIS method which will later produce preference values ​​from alternatives and predetermined criteria. The final result is obtained by using the TOPSIS method where the highest alternative is A5 by obtaining a value of 0.9659 on behalf of Reza Yunanda Lubis. The method is also a very simple method and is also highly recognized as a very precise and accurate decision-making alternative
Penerapan Metode MOOSRA Dalam Rekomendasi Pemilihan Calon Panitia Pemungutan Suara (PPS) Elfrianti Fransiska Hutahaean; Oktavia Wulandari; Nelly Astuti Hasibuan
TIN: Terapan Informatika Nusantara Vol 3 No 7 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v3i7.4120

Abstract

Voting Committee is a committee formed by Regency/Municipal KPU/KIP to carry out General Elections (elections) in other villages or sub-districts. The committee is a group of people appointed or elected to consider or take care of matters assigned to the group. General elections in a village become an activity that must be carried out every year that has been determined, where the community will vote to choose who deserves to be a leader through ballots (Balot). In the general election (Pemilu) a committee is needed to carry out the voting called (PPS). This Voting Committee (PPS) will help the community to carry out the general election process later at every level in accordance with the rules made. To choose the committee an Alternative and certain criteria. In this case the Siregar village head has the opportunity to recommend candidates who will become the voting committee who will serve in the village, but the lack of understanding of knowledge about what criteria must be owned by the voting committee makes it often wrong to recommend PPS candidates, and still manually process data from candidates to be recommended so that it takes a long time. Therefore a system is needed using certain methods to solve these problems, in this case the author uses a Decision Support System with the Multiobjective Optimization method on the Basis of Ratio Analysis (MOOSRA) because it can determine criteria that meet the requirements and deserves to be recommended this method is also considered capable of solving the problem because with this system an appropriate and accurate decision can be taken/drawn. Suara (PPS), which is the first alternative with the name Rohani Butar-Butar, is the best alternative with a total value of 4,812
Penerapan Metode Gabor Wavelet Untuk Deteksi Gimmick Wajah Pada Citra Digital Ulfa Syahrina; Nelly Astuti Hasibuan; Ronda Deli Sianturi
Journal Global Technology Computer Vol 1 No 1 (2021): Desember 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jogtc.v1i1.965

Abstract

Banyak penelitian dilakukan terhadap objek berupa citra, yang mana informasi atau knowledge yang didapat dari citra tersebut dapat memberikan kontribusi dan manfaat bagi dunia pendidikan, inovasi teknologi dan pengelolaan informasi. Pengelolaan citra tidak terlepas dari komputer, sehingga memcu perusahaan-perusahaan komputer untuk meningkatkan kualitas dalam pembuatan perangkat lunak untuk mengolah citra dengan memberikan efek transfaransi pada citra. Maka didalam pembuatan skripsi ini dibahas tentang pengenalan gimmick wajah agar mudah dikenali.Gimmick yaitu bentuk wajah yang mengungkapkan gaya. Wajah merupakan bagian depan dari kepala yang meliputi daerah dari dahi hingga dagu, termasuk juga rambut, dahi, alis, mata, hidung, pipi, mulut, bibir, gigi, dagu dan kulit. Wajah digunakan untuk menunjukkan sikap seseorang terhadap ekspresi wajah, penampilan, serta identitas dari seseorang. Tidak ada satu pun wajah yang sama atau serupa mutlak, bahkan pada manusia kembar sekalipun. Gimmick pada wajah seseorang bisa saja tidak mudah diketahui bahwa wajah tersebut sudah dibuat rekayasa, baik dari segi tampilan wajah maupun gerak­-geriknya. Gimmick wajah sangat berpengaruh pada pengolahan citra agar dapat mempermudah dalam proses pengenalan gimmick wajah seseorang, maka dilakukan proses pengenalan dengan cepat, tepat serta efisien.
Co-Authors A M Hatuaon Sihite Abdul Rahman Pohan Addinul Arfansyah Harahap Ade Ayu Adi Mora Lubis Alex Yuswandi Zalukhu Alimah Alimah Alwi Fau Alwin Fau Andri Agus Yahya Andriaman Purba Annisa Apriliani Annisa Fadillah Siregar Apriani, Sheila Aprilia, Ryu Ariska, Popi Armansyah Ritonga Atika Suri Atira Nabila Ayu, Ade Ayulia Sari Ayuningsih, Devi Azmi, Dinda Tamara Bakti, Surya Barus, Handayani Berta Rohana Br Purba Bister Purba Charles Joergensen E Munthe Christop Gulo Cici Alfiani Pradika Dita Cristella Sitinjak Cynthia Silaban Dalimunthe, Ali Akbar Darma Taksiah Sihombing, Darma Taksiah Desi Ratnasari Dessy Aina Sari Dewi Atika Lubis Dewi Yurika Dito Putro Utomo Edizal Hatmi Edizal Hatmi Efori Buulolo Elfrianti Fransiska Hutahaean Esra Putri Sion Situmorang Fadlina Feby Kristin Pardosi Filbert Wijaya Fince Tinus Waruwu Fince Tinus Waruwu Fitri Laila Fitriani Br. Manurung Fresillya Br Sembiring Garuda Ginting Guidio Leonarde Ginting Gulo, Christop Gultom, Istanto Handoko, Imam Wahyudi Hery Sunandar Hukendik Hutabarat Hutagalung, Siti Nurhabibah Ijan Candra Ilhamsah Ilhamsah Ilhamsyah Ilhamsyah Imam Saputra Imam Saputra Imam Saputra Imam Saputra Imam Wahyudi Handoko Istanto Gultom Joni Yanto Gulo Khairul Abdi Dongoran Kurnia Ulfa Lince Tomoria Sianturi Lubis, Adi Mora Lubis, Dewi Atika Maharani Maharani, Maharani Marbun, Fika Liana Matondang, Firman Maulidya Bella Meli Rahmawati Melisa Melisa Mesran Mesran Mesran, Mesran Mian Nauli Sinaga Miranda, Rina Miya Putri Daulay Muhammad Khairil Kusuma Muhammad Syahril Muhammad Syahrizal Muhammad Yusuf Nasution, Elvi Sahara Nasution, Elvi Sahara Natalia Silalahi Natalia Silalahi, Natalia Nia Novianti Niki Iswanti Novia Intan Pratiwi Novianti, Nia Nurdiyanto, Heri Nurhena, Siti Nurnia Zamasi Oktavia Wulandari Pristiwanto Pristiwanto Pristiwanto, Pristiwanto Purba, Bister Putri Ramadhani Putri Ramadhani Putri Ramadhani, Putri Rahmansyah, Rizky Rahmi Ras Fanny Raimah Handayani Harahap Ratih Anggraini Ratih Anggraini, Ratih Rian Syahputra Rikky Panggabean Risa Ermis Claudia Malau Rivalri Kristianto Hondro Rizky, TM Irsan Ronda Deli Sianturi Rusli Purba Ryu Aprilia Saidi Ramadan Siregar Saragih, Windi Sri Utami Sari Handayani Sawitri Sawitri Senanti Alas Shakya Suci Kamara Siagian, Edward Robinson Sianipar, Fitri Nur Indah Sari Simangunsong, Evi O Siregar, Abdul Haris Siregar, Alwali Daini Udda Siti Nurhena Suginam Suhastra Indrawan Sumiaty Hutabarat Suriyani Br Kudadiri Surya Darma Nasution Susanti, Pipi Susanti, Pipi Sutiksno, Dian Utami Taronisokhi Zebua Tetty Rosmaria Sitompul Triswardani, Gita Ulfa Syahrina Ulfa, Kurnia Ulfa, Kurnia Widia Ningsih Wosvo Aritonang Wulan Ramadhani Yuhandri Yuhandri, Yuhandri Zahri Hubby Ramadhani Zulaika Susanti